Machine-Learning-Tokyo / Interactive_Tools
Interactive Tools for Machine Learning, Deep Learning and Math
☆2,739Updated 8 months ago
Alternatives and similar repositories for Interactive_Tools:
Users that are interested in Interactive_Tools are comparing it to the libraries listed below
- Open Deep Learning and Reinforcement Learning lectures from top Universities like Stanford, MIT, UC Berkeley.☆2,542Updated 4 years ago
- NYU Deep Learning Spring 2021☆1,613Updated 7 months ago
- Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lect…☆12,551Updated 6 months ago
- Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course☆10,471Updated last year
- Awesome free machine learning and AI courses with video lectures.☆2,921Updated 4 months ago
- 📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.☆2,852Updated 2 years ago
- Research papers with annotations, illustrations and explanations☆828Updated 4 years ago
- Material used for Deep Learning related workshops for Machine Learning Tokyo (MLT)☆936Updated last year
- ☆342Updated 4 years ago
- Companion webpage to the book "Mathematics For Machine Learning"☆14,024Updated last month
- 🔥 A collection of PyTorch notebooks for learning and practicing deep learning☆562Updated 2 years ago
- Machine Learning Notebooks☆3,336Updated last year
- Learn how to design, develop, deploy and iterate on production-grade ML applications.☆3,086Updated 8 months ago
- ☆1,431Updated 2 years ago
- Pen and paper exercises in machine learning☆2,269Updated 11 months ago
- https://huyenchip.com/ml-interviews-book/☆3,674Updated last month
- A guideline for building practical production-level deep learning systems to be deployed in real world applications.☆4,448Updated last year
- This repo contains annotated research papers that I found really good and useful☆2,736Updated last month
- 🧠 A study guide to learn about Transformers☆1,576Updated last year
- Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.☆7,523Updated last year
- An ongoing list of pandas quirks☆959Updated last year
- Machine learning glossary☆3,058Updated 8 months ago
- The Hitchiker's Guide to PyTorch☆1,197Updated 3 years ago
- ✍️ A carefully curated list of NLP paper summaries☆1,479Updated 3 years ago
- Data science interview questions and answers☆9,272Updated this week
- Carefully curated resource links for data science in one place☆3,043Updated 8 months ago
- 🧠 Material for the Deep Learning Study Group☆392Updated 3 years ago
- Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources o…☆1,529Updated 9 months ago
- Code Repository for Machine Learning with PyTorch and Scikit-Learn☆4,153Updated last month
- Classical equations and diagrams in machine learning☆7,623Updated 8 months ago